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Locality, relation, and meaning construction in language, via tokenization in LLMs

Zimmerman, Julia
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Abstract
Large Language Models (LLMs) like ChatGPT reflect profound changes in the field of Artificial Intelligence, achieving a linguistic fluency that is impressively, even shockingly, human-like. The extent of their current and potential capabilities is an active area of investigation by no means limited to scientific researchers. We examine the details of their gnogeography. We present high-level takeaways on cognition, language, and the future of learning machines as well as the science around them, arguing that relation is the fundamental mechanism for linguistic meaning construction, and that problem-solving is fundamentally achieved through subverting locality via the mechanism of relation.
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Date
2025-06-03
Student Status
Graduate
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Type of presentation
Poster Presentation
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UVM Student Research Conference
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URI
https://hdl.handle.net/20.500.14849/9068
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Advisor(s)
Chris Danforth
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Program/Major
Data Science
College/School
College of Engineering and Mathematical Sciences
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Social Science
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